GLM-5.3: Frontier coding with emergent cyber capabilities
pella · 457 points · 192 comments · il y a 4 heures · Open original
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Z4z4y5f3il y a 1 heure
Apparently they are scanning OSS and popular software at scale and disclosing the vulnerabilities they found: https://cvd.z.ai/
Most of these are under embargo, but it seems there are a lot of CVE here from a wide range of popular software, many considered critical or high.
I understand the argument of "people are not actively looking", but isn't the cost for such a scan getting lower by the week, and Anthropic's Project Glasswing is supposed to find them quite a while ago?
ALaliljetil y a 4 heures
This is absolutely still shy of Sol and Fable, but only just by a hair. Ridiculous results. There's still not a compelling economic reason to drop OpenAI courtesy of the ludicrous reset addiction that's taken place, but it feels like we're on the precipice.
How are you all toying with running this kind of thing in a mega quantized way locally? Two weeks out from released weights, but this is still just GLM 5.2 with post-training magic.
HYhypferil y a 4 heures
I might be just reading my positive bias into that text, but is it possible that it is written less like SV marketing hype trash and more like researchers wrote it?
It does feel like it respects both me and my time.
Thank you, Z.AI.
Amazing what difference it makes when the top of your org are actual university professors.
AAaand16il y a 3 heures
> Mythos 5 remains well ahead at 181 and 247 tasks. The pattern across the three is consistent: the further up the exploitation chain a benchmark sits, the wider the remaining gap to the closed frontier. Capability is growing fastest exactly where we are furthest behind.
I appreciate they don't just take the opportunity to self-glaze.
WXwxwil y a 4 heures
> Scaling post-training is all we did for GLM-5.3.
Love this opening line. And wow, great results.
> As agent capability improves, much of the difficulty in scaling post-training moves from the model to the environment.
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5 preview comments · loading full threadLog in to h4cker, then connect Hacker News to publish comments.
Apparently they are scanning OSS and popular software at scale and disclosing the vulnerabilities they found: https://cvd.z.ai/ Most of these are under embargo, but it seems there are a lot of CVE here from a wide range of popular software, many considered critical or high. I understand the argument of "people are not actively looking", but isn't the cost for such a scan getting lower by the week, and Anthropic's Project Glasswing is supposed to find them quite a while ago?
This is absolutely still shy of Sol and Fable, but only just by a hair. Ridiculous results. There's still not a compelling economic reason to drop OpenAI courtesy of the ludicrous reset addiction that's taken place, but it feels like we're on the precipice. How are you all toying with running this kind of thing in a mega quantized way locally? Two weeks out from released weights, but this is still just GLM 5.2 with post-training magic.
I might be just reading my positive bias into that text, but is it possible that it is written less like SV marketing hype trash and more like researchers wrote it? It does feel like it respects both me and my time. Thank you, Z.AI. Amazing what difference it makes when the top of your org are actual university professors.
> Mythos 5 remains well ahead at 181 and 247 tasks. The pattern across the three is consistent: the further up the exploitation chain a benchmark sits, the wider the remaining gap to the closed frontier. Capability is growing fastest exactly where we are furthest behind. I appreciate they don't just take the opportunity to self-glaze.
> Scaling post-training is all we did for GLM-5.3. Love this opening line. And wow, great results. > As agent capability improves, much of the difficulty in scaling post-training moves from the model to the environment.